How to Do AI SEO: The Non-Bullsh*t Guide to AI Search Visibility (2026)

A practical, no-fluff guide to AI SEO: solve a real problem, document it, watch Google Search Console signals, then double down with a connected knowledge base. The exact four-step system we used to reach #1 on Google for "Best Claude Model" and get cited in AI Overviews.

AI SEO is the practice of building search visibility into a business by solving a real problem, documenting it properly, watching for search signals in Google Search Console, then doubling down with a connected knowledge base.

It is not about publishing random AI-written articles, Reddit spam, backlink begging, a paid course, or another SEO app.

It is about turning search intent into demand validation — becoming the clearest answer source for the problems your market is already searching.

Want the full playbook as a downloadable resource?

Get The Non-Bullsh*t Guide to AI SEO .

The Dead Internet Problem (and the Opportunity) Dead Internet Theory says the web is slowly filling up with content that looks human, sounds human, and repeats human patterns, but is increasingly being created, copied, remixed and republished by AI.

That idea used to sound like internet folklore.

Now it feels uncomfortably close to the daily experience of using the web.

Open LinkedIn and you see the same posts in different voices.

Open Google and you see the same explanations with different introductions.

Open a company blog and you see another generic article that could belong to any competitor.

Everyone is saying roughly the same thing because AI is replicating the same inputs, the same structures and the same surface-level opinions.